Control of nonlinear state-dependent systems using a receding horizon strategy
A variety of nonlinear control design methods have been proposed for controlling severe nonlinear processes over the past three decades. The vast majority of approaches take a nonlinear affine representation of the system dynamics. It appears that many system dynamics can also be represented by a st...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2016-11-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814016681695 |
| Summary: | A variety of nonlinear control design methods have been proposed for controlling severe nonlinear processes over the past three decades. The vast majority of approaches take a nonlinear affine representation of the system dynamics. It appears that many system dynamics can also be represented by a state-dependent model structure. Control of state-dependent systems has been investigated resulting in design methodologies such as state-dependent Riccati equation approach, state-dependent parameter and proportional–integral–plus approach, and the nonlinear generalized minimum variance approach. This article describes yet another approach based on a receding horizon strategy. Important results on optimal control are obtained. Implementation issues are also discussed. The proposed approach is validated through its application to a 25-tray binary distillation column process. |
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| ISSN: | 1687-8140 |